Chang Seok Bang

Associate Professor

Hallym University College of Medicine

South Korea

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About

Chang Seok Bang is an Associate Professor at Hallym University College of Medicine in South Korea. His research areas include artificial intelligence applications in gastroenterology, Helicobacter pylori treatment protocols, and the management of gastrointestinal conditions through endoscopic techniques. His recent publications focus on the integration of AI in clinical practices and the evaluation of treatment guidelines for digestive disorders.

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Collaborators (16)

Gwang Ha Kim

SOUTH KOREA

Chang Seok Bang

Research Interests

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About

Articles (20)

Artificial intelligence in colonoscopy: polyp fiction or clinical reality?

A Nationwide Trend Analysis of Helicobacter pylori Treatment between 2010 and 2021 According to Revised Guidelines in Korea

Practice Guidelines for the Diagnosis and Treatment of Subepithelial Lesions Observed in Upper Gastrointestinal Endoscopy

Amitriptyline for the Treatment of Extra-esophageal Symptoms in Proton Pump Inhibitor-refractory Patients With Suspected Gastroesophageal Reflux Disease

Edge Artificial Intelligence Device in Real-Time Endoscopy for the Classification of Colonic Neoplasms

Korean Registry on the Current Management of Helicobacter pylori (K-Hp-Reg): Interim Analysis of Adherence to the Revised Evidence-Based Guidelines for First-Line Treatment

Enhancing Lymph Node Metastasis Risk Prediction in Early Gastric Cancer Through the Integration of Endoscopic Images and Real-World Data in a Multimodal AI Model

Incidence and Clinical Course of Post-infectious Irritable Bowel Syndrome in Patients Admitted to University Hospitals: 1-year Prospective Follow-up Study

Comparing 1-L and 2-L Polyethylene Glycol with Ascorbic Acid for Small Bowel Capsule Endoscopy: A Randomized Controlled Trial

The Potential Clinical Utility of the Customized Large Language Model in Gastroenterology: A Pilot Study

Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study

Effect of Helicobacter pylori Eradication on Body Weight: A Multicenter Propensity Score-matched Analysis in Korea

Interpretation of Medical Images Using Artificial Intelligence: Current Status and Future Perspectives

Clinical Practice Guideline for Gastritis in Korea

Use of Proton Pump Inhibitors and the Risk for the Development of Gastric Cancers: A Nationwide Population-Based Cohort Study Using Balanced Operational Definitions

Bismuth-Based Quadruple Therapy versus Metronidazole-Intensified Triple Therapy as a First-Line Treatment for Clarithromycin-Resistant Helicobacter pylori Infection: A Multicenter Randomized Controlled Trial

Clinical Characteristics and Treatment Pathway of Patients Treated with Helicobacter pylori Infection-A Single Center Cohort Study Using Common Data Model

Impact of the Volume and Distribution of Training Datasets in the Development of Deep-Learning Models for the Diagnosis of Colorectal Polyps in Endoscopy Images

Deep-Learning for the Diagnosis of Esophageal Cancers and Precursor Lesions in Endoscopic Images: A Model Establishment and Nationwide Multicenter Performance Verification Study

No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification

Collaborators (16)

Gwang Ha Kim

Hyun Jung Kim

Woon Geon Shin

Yu Jin Kim

Seung In Seo

Junwoo Jo

Sang Pyo Lee

Tae Jun Kim

Eun Jeong Gong

Kyoungwon Jung

Su Jin Hong

HYUNCHUL LIM

JUNG HWAN OH

Su Youn Nam

Gwang Ho Baik

Yoon Jin Choi

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